Grant: Project Grant
University of Manitoba
$367,200.00
Acoustical Device for Obstructive Sleep Apnea Severity Prediction during Wakefulness
FY 2017-18
Summary
Sleep apnea, in particular obstructive sleep apnea (OSA), is one of the most common breathing disorders with major comorbidities, e.g. memory loss, increased risk of accidents, and cardiovascular diseases. OSA severity is usually assessed by full-night polysomnography (PSG), which is expensive, time consuming and expert intensive. OSA is generally underdiagnosed; that not only increases the risk of car accidents and comorbid diseases but also increases the risk of complications after a surgery requiring full anesthesia. Usually, there is no time to perform PSG prior to a surgery; currently it is done using a questionnaire that has poor accuracy. Thus, a quick and reliable screening tool for OSA and its severity during wakefulness is much desired. This proposal offers a solution in the form of a user friendly device connected to a smart phone that can be used to reliably predict OSA severity whilst awake by analyzing a few breathing sounds.
Department
Program
Project Grant
Recipient
Location
Manitoba, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
379696
Name
Kazem-Moussavi Zahra M
Region
Manitoba
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Circulatory and Respiratory Health
Theme2
Biomedical
Prcname2
Commercialization
Projecttitle
Acoustical Device for Obstructive Sleep Apnea Severity Prediction during Wakefulness
Programtype2
Operating Grants
Orgnameinp2
University of Manitoba
Cihramount2
$367,200
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Breathing Sounds; Medical Devices; Obstrcutve Sleep Apnea; Screening Device; Signal Analysis
Abstract
Sleep apnea, in particular obstructive sleep apnea (OSA), is one of the most common breathing disorders with major comorbidities, e.g. memory loss, increased risk of accidents, and cardiovascular diseases. OSA severity is usually assessed by full-night polysomnography (PSG), which is expensive, time consuming and expert intensive. OSA is generally underdiagnosed; that not only increases the risk of car accidents and comorbid diseases but also increases the risk of complications after a surgery requiring full anesthesia. Usually, there is no time to perform PSG prior to a surgery; currently it is done using a questionnaire that has poor accuracy. Thus, a quick and reliable screening tool for OSA and its severity during wakefulness is much desired. This proposal offers a solution in the form of a user friendly device connected to a smart phone that can be used to reliably predict OSA severity whilst awake by analyzing a few breathing sounds.
Competitiondate
201803
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Kazem-Moussavi, Zahra M
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $367,200~ $0~
